Method of image fusion and enhancement using mask pyramid

Image fusion is an important visualization technique of integrating coherent spatial and temporal information into a compact form. Laplacian fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In thi...

Full description

Saved in:
Bibliographic Details
Published in14th International Conference on Information Fusion pp. 1 - 8
Main Authors Zhang, D. C., Sek Chai, Van der Wal, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
exposure fusion
focus fusion
high dynamic range imaging
Hysteresis
image blending
Image color analysis
image enhancement
Image fusion
Laplace equations
Noise
Noise reduction
Pixel
Online AccessGet full text

Cover

More Information
Summary:Image fusion is an important visualization technique of integrating coherent spatial and temporal information into a compact form. Laplacian fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In this paper, we proposed an algorithmic approach using a mask pyramid to better localize the selection process. A mask pyramid operates in different scales of the image to improve the fused image quality beyond a global selection rule. Several examples of this mask pyramid method are provided to demonstrate its performance in a variety of applications. A new embedded system architecture that builds upon the Acadia ® II Vision Processor is proposed.
ISBN:9781457702679
1457702673